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RISTDnet: Robust Infrared Small Target Detection Network

IEEE Geoscience and Remote Sensing Letters, 2022
The infrared (IR) small target detection algorithm with a high detection rate, low false alarm rate, and high real-time performance has significant application value in the field of IR remote sensing. IR small targets in complex backgrounds have low contrast and low signal-to-noise ratio (SNR).
Zhipeng Wang, Qingyu Hou, Ye Zhao
exaly   +2 more sources

A Local Contrast Method for Small Infrared Target Detection

IEEE Transactions on Geoscience and Remote Sensing, 2014
Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Consequently, an effective small target detection algorithm inspired by the contrast mechanism of human vision system and derived kernel model is presented in this paper. At the first stage, the local
C L Philip Chen   +2 more
exaly   +2 more sources

Detectability of infrared small targets

Infrared Physics & Technology, 2010
Selecting the most appropriate algorithms for detecting small targets in varied infrared image scenes is frequently needed, since the relative characteristics between small targets and backgrounds in varied scenes are disparate. To solve that problem, a novel criterion is proposed in this article to measure the difficulty in distinguishing small ...
Kang Huang, Xia Mao
openaire   +1 more source

Infrared small target detection with compressive measurements

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
A novel scheme for infrared small target detection in compressive domain is presented. First, the original image is separated into two components, i.e., the target and the background. Next, we compress them individually. Finally, the compressed target image is utilized to construct the corresponding compressive detector to perform detection in ...
Lijuan Xie   +3 more
openaire   +1 more source

An Adaptation of Cnn for Small Target Detection in the Infrared

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Due to the low signal to noise ratio and limited spatial resolution, small target detection in an infrared image is a challenging task. Existing methods often have high false alarm rates and low probabilities of detection when infrared small targets submerge in the background clutter.
Dong Zhao 0005   +3 more
openaire   +2 more sources

Multiple Feature Analysis for Infrared Small Target Detection

IEEE Geoscience and Remote Sensing Letters, 2017
Detection of small target has been an important and challenging task in infrared systems. Most detection algorithms which only use single metric are difficult to separate target from clutter completely. The false alarm may be high when there exists complex backgrounds.
Yanguang Bi   +3 more
openaire   +1 more source

The Size and Position Detection of the Small Target in Infrared Image

2011
In this paper, we present a technique used to detect the location and size of small targets in a multi-resolution image using a cubic facet model. The input image is divided into multi-resolution images. We apply the facet model and the local maxima conditions to each level of the multi-resolution images. We then detect the location of the small target.
Gyoon-Jung Lee   +3 more
openaire   +2 more sources

Detecting Small Target of Ship at Sea by Infrared Image

2006 IEEE International Conference on Automation Science and Engineering, 2006
Detecting small target of ship at sea is very important to missile guidance. In this paper, infrared images are used to capture the information of small ship at sea, an edge detector combining with a median filter are used to seek for the sky-sea line and the objects in the images.
Jun-Wei Lu   +3 more
openaire   +1 more source

A Coarse-to-Fine Method for Infrared Small Target Detection

IEEE Geoscience and Remote Sensing Letters, 2019
Infrared small target detection in a complex background is a challenging problem. A complex background generally contains structured edges, unstructured clutter, and noise, which completely have different properties. It is very difficult to separate small target from these interferences by exploiting one property.
Shoukui Yao, Yi Chang 0002, Xiaojuan Qin
openaire   +2 more sources

Dim2Clear Network for Infrared Small Target Detection

IEEE Transactions on Geoscience and Remote Sensing, 2023
Mingjin Zhang   +5 more
openaire   +2 more sources

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